Items In Order Research Articles

Take your time: Slow brain rhythms predict fluid intelligence

Evidence is mixed whether fluid intelligence (Gf) is associated with increased or decreased alpha and beta band activity (7–30 Hz). Moreover, the Gf relationship with the delta and theta band activity (1–7 Hz) is unknown. We recorded electroencephalographic (EEG) data in 160 healthy adults solving Raven's Advanced Progressive Matrices with a randomized item order to control for item difficulty unaffected by sequential effects. The participants studied each matrix for 30 s before the response bank onset, so we could track the time course of neural activity during problem solving. We measured Gf using six tests. Gf positively correlated with the delta band power, while there was no correlation with the theta band power. For almost all of the participants, we identified the specific slow rhythm frequency, which varied in power as a function of item difficulty. We observed that the lower this frequency, the higher Gf, but only in men. Finally, the alpha and low-beta activity correlated negatively with Gf after we had filtered out the activity during idle intervals (the latter reflecting waiting for the response bank). Overall, the brain activity in the delta, alpha, and beta bands explained 22.6% of Gf variance.

Heterogeneity of short-term memory deficits in children with dyslexia.

Many studies have highlighted short-term memory (STM) impairment in dyslexic individuals. Several studies showed deficits for both item and serial order aspects of verbal STM in dyslexic individuals. These group-based studies, however, do not inform us about the prevalence of these deficits and, importantly, their potential heterogeneity at the individual level. The present study examined both group-level and individual STM profiles in dyslexic and age-matched non-dyslexic children. While confirming previous group-based results of both item and serial order STM deficits, individual analyses indicated two distinct profiles: one profile was associated with verbal item STM and phonological impairment while another profile showed selective serial STM deficits in both verbal and visual domains. Our results highlight the need for practitioners to consider the heterogeneous nature of STM impairment in dyslexia and to adapt STM and reading treatment strategies accordingly.

Hybrid approach for solving real-world bin packing problem instances using quantum annealers

Efficient packing of items into bins is a common daily task. Known as Bin Packing Problem, it has been intensively studied in the field of artificial intelligence, thanks to the wide interest from industry and logistics. Since decades, many variants have been proposed, with the three-dimensional Bin Packing Problem as the closest one to real-world use cases. We introduce a hybrid quantum-classical framework for solving real-world three-dimensional Bin Packing Problems (Q4RealBPP), considering different realistic characteristics, such as: (1) package and bin dimensions, (2) overweight restrictions, (3) affinities among item categories and (4) preferences for item ordering. Q4RealBPP permits the solving of real-world oriented instances of 3 dBPP, contemplating restrictions well appreciated by industrial and logistics sectors.

Avoiding Recursion in the Representation of Subsenses and Subentries in Dictionaries

Abstract Recursion, and recursion-like design patterns, are used in the entry schemas of dictionaries to model subsenses and subentries. Recursion occurs when elements of a given type, such as sense, are allowed to contain elements of the same or similar type, such as sense or subsense. This article argues that recursion unnecessarily increases the computational complexity of entries, making dictionaries less easily processable by machines. The article will show how entry schemas can be simplified by re-engineering subsenses and subentries as relations (like in a relational database) such that we only have flat lists of senses and entries, while the is-subsense-of and is-subentry-of relations are encoded using pairs of unique identifiers. This design pattern losslessly records the same information as recursion (including – importantly – the listing order of items inside an entry) but decreases the complexity of the entry structure and makes dictionary entries more easily machine-processable.

Implementation of a Problem-Based Presentation Format to Improve Residents' Ambulatory Patient Presentations

ABSTRACT Background The format for residents to present hospitalized patients to teaching faculty is well defined; however, guidance for presenting in clinic is not uniform. Objective We report the development, implementation, and evaluation of a new standardized format for presenting in clinic: the Problem-Based Presentation (PBP). Methods After a needs assessment, we implemented the format at the teaching clinics of our internal medicine residency program. We surveyed participants on innovation outcomes, feasibility, and acceptability (pre-post design; 2019-2020; 5-point scale). Residents' primary outcomes were confidence in presentation content and presentation order, presentation efficiency, and presentation organization. Faculty were asked about the primary outcomes of resident presentation efficiency, presentation organization, and satisfaction with resident presentations. Results Participants were 111 residents and 22 faculty (pre-intervention) and 110 residents and 20 faculty (post-intervention). Residents' confidence in knowing what the attending physician wants to hear in an outpatient presentation, confidence in what order to present the information, and how organized they felt when presenting in clinic improved (all P<.001; absolute increase of the top 2 ratings of 25%, 28%, and 31%, respectively). Residents' perceived education in their outpatient clinic also improved (P=.002; absolute increase of the top 2 ratings of 19%). Faculty were more satisfied with the structured presentations (P=.008; absolute increase of the top 2 ratings of 27%). Conclusions Implementation of a new format for presenting in clinic was associated with increased resident confidence in presentation content, order of items, overall organization, and a perceived increase in the frequency of teaching points reviewed by attending physicians.

Evidence of the content validity, acceptability, and feasibility of a new Patient-Reported Impact of Dermatological Diseases measure.

The Global Research on the Impact of Dermatological Diseases (GRIDD) team is developing the new Patient-Reported Impact of Dermatological Diseases (PRIDD) measure of the impact of dermatological conditions on the patient's life, in partnership with patients. To develop PRIDD, we conducted a systematic review, followed by a qualitative interview study with 68 patients worldwide and subsequently a global Delphi survey of 1,154 patients to ensure PRIDD items were meaningful and important to patients. To pilot test PRIDD with patients with dermatological conditions, focusing on its content validity (comprehensiveness, comprehensibility, and relevance), acceptability, and feasibility. We conducted a theory-led qualitative study using the Three-Step Test-Interview method of cognitive interviewing. Three rounds of semi-structured interviews were conducted online. Adults (≥ 18 years) living with a dermatological condition and who spoke English sufficiently to take part in the interview were recruited through the International Alliance of Dermatology Patient Organizations' (GlobalSkin) global membership network. The topic guide met the gold-standard COSMIN (Consensus-based Standards for the Selection of Health Measurement Instruments) standards for cognitive interviewing. Analysis followed the thematic analytical model of cognitive interviewing. Twelve people (58% male) representing six dermatological conditions from four countries participated. Overall, patients found PRIDD to be comprehensible, comprehensive, relevant, acceptable, and feasible. Participants were able to discern the conceptual framework domains from the items. Feedback resulted in: the recall period being extended from 1 week to 1 month; removal of the 'not relevant' response option; and changes to the instructions and item ordering and wording to improve clarity and increase respondents' confidence in their ability to respond. These evidence-based adjustments resulted in a 26-item version of PRIDD. This study met the gold-standard COSMIN criteria for the pilot testing of health measurement instruments. The data triangulated our previous findings, in particular the conceptual framework of impact. Our findings illuminate how patients understand and respond to PRIDD and other patient-reported measurement instruments. The results of comprehensibility, comprehensiveness, relevance, acceptability, and feasibility of PRIDD provide evidence of content validity from the target population. The next step in the development and validation of PRIDD is psychometric testing.

Sample-Driven Optimal Stopping: From the Secretary Problem to the i.i.d. Prophet Inequality

We take a unifying approach to single selection optimal stopping problems with random arrival order and independent sampling of items. In the problem we consider, a decision maker (DM) initially gets to sample each of N items independently with probability p, and can observe the relative rankings of these sampled items. Then, the DM faces the remaining items in an online fashion, observing the relative rankings of all revealed items. While scanning the sequence the DM makes irrevocable stop/continue decisions and her reward for stopping the sequence facing the item with rank i is Yi. The goal of the DM is to maximize her reward. We start by studying the case in which the values Yi are known to the DM, and then move to the case in which these values are adversarial. For the former case we are able to recover several classic results in the area, thus giving a unifying framework for single selection optimal stopping. For the latter, we pin down the optimal algorithm, obtaining the optimal competitive ratios for all values of p. Funding: This work was partially supported by The Center for Mathematical Modeling at the University of Chile (ANID FB210005), Grant Anillo Information and Computation in Market Design (ANID ACT210005), FONDECYT 1220054 and 1181180, and a Meta Research PhD Fellowship.

The Planning Process of the Online Transaction Fraud Detection Using Backlogging on an E-Commerce Website

E-commerce is defined as the selling and purchasing of products, as well as the transmission of data or payments, through an electronic network. E-commerce is driven by the internet, where customers can browse through an online store and place orders for items or services using their own devices. Online transactions are used by e-commerce businesses to charge customers for goods and services. The rising number of online transactions has increased the number of payment frauds. Payment fraud refers to any type of fraudulent or illegal transaction carried out by a cybercriminal. The criminal utilizes the internet to deprive the victim of money, personal property, or sensitive information. The objective of this research is to investigate the gaps in the existing online transaction fraud detection on e-commerce websites, to propose and develop an online transaction fraud detection using backlogging on e-commerce websites that is safe against fraud and enables simple and efficient transactions and implement security measures to prevent a breach of the proposed system. The method for this research is using the Waterfall methodology as a Software Development Life Cycle.

WAREHOUSE MANAGEMENT AND INVENTORY CONTROL

In today’s competitive world, it is important for vendors to have a website where the goods can be maintained online. A warehouse management system is designed and developed to permit a purchaser to deliver online orders for items and services from a store that work for both in-person customers and online shoppers. The warehouse management system is an organization that maintains our raw materials. Raw materials include wood, fabric, leather, glass, cane, plastic, stainless steel, metals, and mica. The raw material section is broadly classified into two categories: type of material (raw) and type of section. This type of section is further divided into delivery and packing sections. This unit also comprises the Stock Maintenance Section, Staff Management, Labor Scheduling, Recycle Section, and Return Section. Staff management involves employee details (attendance, salary). Scheduling labor encompasses cutting, laminating, stitching, finishing, bending, designing, packing, and checking. Stock Maintenance Section is built in with two varieties, such as Interior Furniture Varieties and Exterior Furniture Varieties. Keywords :

Optimization Multi-Item Lot Sizing Model involve Transportation and Capacity Constraint under Stochastic Demand using Aquila Optimizer

Inventory issues are often a major concern as they significantly impact operating costs. Lot sizing is one of the key decisions in managing inventory. However, in a real context, the demand for each item is often uncertain. It is supplied from the same supplier, requiring product orders to be placed in the same period. In addition, limited vehicle capacity and transportation costs are important factors to consider in making multi-item lot sizing decisions. The purpose of this study is to propose a new inventory model multi-item lot sizing model involving transportation cost and capacity constraints under stochastic demand. The decision variables involved in the model are each item's ordering cycle and safety factor with the objective function of minimizing the total inventory cost. To optimize the inventory model, this study also offers the advanced procedure of the Aquila Algorithm. This study also presents sensitivity analysis to the appropriate policy for optimizing the multi-item lot-sizing inventory problem involving transportation cost and capacity constraint under stochastic demand.

Content validation of the HeartRunner questionnaire to volunteer responders dispatched to out-of-hospital cardiac arrests: A qualitative study

AimTo increase survival after out-of-hospital cardiac arrest (OHCA) in Denmark, volunteer responders are activated through a smartphone application (HeartRunner app) to quickly locate an automated external defibrillator (AED) and assist with cardiopulmonary resuscitation (CPR). All dispatched volunteer responders who have been activated by the app receive a follow-up questionnaire to evaluate their participation in the programme. The content of the questionnaire has never been thoroughly evaluated. We therefore aimed to validate the content of the questionnaire. MethodsContent validity was evaluated qualitatively. It was based on individual interviews with three experts, along with three focus group interviews and five individual interviews using cognitive interview technique, with a total of 19 volunteer responders. The interviews were also used to inform refinements of the questionnaire to reach improvements in content validity. ResultsThe initial questionnaire consisted of 23 items. After the content validation process, the questionnaire consisted of 32 items; with the addition of 9 new items. Specifically, some original items were merged into one item or divided into separate items. Moreover, we revised the order of items, some sentences were rephrased or reworded, an introduction and headlines to different sections were added, and skip logic were incorporated to hide non-relevant items. ConclusionOur findings support the importance of validating questionnaires to ensure accuracy of survey instruments. Validation led to modifications of the questionnaire, and we propose a new version of the HeartRunner questionnaire. Our findings support the content validity of the final HeartRunner questionnaire. The questionnaire may allow the collection of quality data to evaluate and improve volunteer responder programmes.

Working memory control dynamics follow principles of spatial computing

Working memory (WM) allows us to remember and selectively control a limited set of items. Neural evidence suggests it is achieved by interactions between bursts of beta and gamma oscillations. However, it is not clear how oscillations, reflecting coherent activity of millions of neurons, can selectively control individual WM items. Here we propose the novel concept of spatial computing where beta and gamma interactions cause item-specific activity to flow spatially across the network during a task. This way, control-related information such as item order is stored in the spatial activity independent of the detailed recurrent connectivity supporting the item-specific activity itself. The spatial flow is in turn reflected in low-dimensional activity shared by many neurons. We verify these predictions by analyzing local field potentials and neuronal spiking. We hypothesize that spatial computing can facilitate generalization and zero-shot learning by utilizing spatial component as an additional information encoding dimension.

Portuguese Physical Literacy Assessment Questionnaire (PPLA-Q) for Adolescents: Validity and Reliability of the Psychological and Social Modules using Mokken Scale Analysis.

We examined the construct validity and reliability of the previously developed Psychological and Social modules of the Portuguese Physical Literacy Assessment Questionnaire (PPLA-Q) using Mokken Scale Analysis in a sample of 508 Portuguese adolescents in public schools in Lisbon. We used a retest subsample (n = 73) to calculate the Intraclass Correlation Coefficient. Eight PPLA-Q scales can be interpreted as moderate-to-strong Mokken scales (H = .47-.66) with good total-score reliability (ρ = .83-.94), and moderate-to-excellent test-retest reliability (ICC95%CI = .51-.95); four scales had an interpretable invariant item ordering. All but the Physical Regulation scale functioned similarly across sex. Scale-scores correlated as expected, with low-to-moderate correlations across domains supporting convergent and discriminant validity. These results support the construct validity and reliability of the PPLA-Q to assess the psychological and social domains of physical literacy in Portuguese adolescents (15-18years) enrolled in physical education.

Development of Cloud-Based Telemedicine Platform for Acute Intracerebral Hemorrhage in Gangwon-do : Concept and Protocol.

We aimed to develop a cloud-based telemedicine platform for patients with intracerebral hemorrhage (ICH) at local hospitals in rural and underserved areas in Gangwon-do using artificial intelligence and non-face-to-face collaboration treatment technology. This is a prospective and multi-center development project in which neurosurgeons from four university hospitals in Gangwondo will participate. Information technology experts will verify and improve the performance of the cloud-based telemedicine collaboration platform while treating ICH patients in the actual medical field. Problems identified will be resolved, and the function, performance, security, and safety of the telemedicine platform will be checked through an accredited certification authority. The project will be carried out over 4 years and consists of two phases. The first phase will be from April 2022 to December 2023, and the second phase will be from April 2024 to December 2025. The platform will be developed by dividing the work of the neurosurgeons and information technology experts by setting the order of items through mutual feedback. This article provides information on a project to develop a cloud-based telemedicine platform for acute ICH patients in Gangwon-do.

Effect of visual presentation format and recall direction on letter span and error patterns in Deaf signing and hearing adults.

Deaf signers consistently show shorter memory spans than hearing nonsigners, but the scope and nature of this difference remain unclear. The present study tested whether Deaf signers are biased toward flexible use of visual aspects of linguistic items. Matched samples of adult Deaf signers (N = 33) and hearing nonsigners (N = 32) performed a letter-span task with visual serial presentation, to bias phonological processing, and a simultaneous presentation, to bias visuospatial processing. We also manipulated short-term memory by varying recall direction (forward, backward). Analyses revealed reduced spans for Deaf signers compared with hearing nonsigners, backward compared with forward recall, and sequential compared with simultaneous presentation. Item-level responses indicated that Deaf signers made more errors than hearing nonsigners across three error types. Deaf signers also showed reduced item position binding compared with hearing nonsigners, which indicates differences related to item order and sequencing in tasks with printed, linguistic stimuli. Deaf signers were the only group who demonstrated reduced omission errors when switching from sequential to simultaneous presentation, suggesting flexible processing mechanisms. No group differences were found for a secondary spatial span test, indicating the scope of group differences for ordered information was limited to verbal items. Overall, results are consistent with flexible use of different memory cues in Deaf signers. A core area for future research includes evaluating reduced activation of phonological representations of linguistic items in Deaf signers. These results amplify a novel M3 model approach for evaluating how errors contribute to short-term memory differences in Deaf signers.

A Redesign of the ACGME Resident/Fellow Survey Through Expert Reviews and Cognitive Interviews.

Since 2003, the Accreditation Council for Graduate Medical Education (ACGME) has surveyed residents and fellows in its accredited programs. The Resident/Fellow Survey is a screening and compliance tool that programs can also use for continuous quality improvement. However, stakeholders have reported potential problems with the survey's overall quality and credibility. To redesign the 2006 Resident/Fellow Survey using expert reviews and cognitive interviews. In 2018-2019, the ACGME redesigned the Resident/Fellow Survey using an iterative validation process: expert reviews (evidence based on content) and cognitive interviews (evidence based on response processes). Expert reviews were conducted by a survey design firm and an ACGME Task Force; cognitive interviews were conducted with a diverse set of 27 residents and fellows. Expert reviews resulted in 21 new survey items to address the ACGME's updated accreditation requirements; these reviews also led to improvements that align the survey items with evidence-informed standards. After these changes were made, cognitive interviews resulted in additional revisions to sensitive items, item order, and response option order, labels, and conceptual spacing. In all, cognitive interviews led to 11 item deletions and other improvements designed to reduce response error. Expert reviews and cognitive interviews were used to redesign the Resident/Fellow Survey. The content of the redesigned survey aligns with the updated accreditation requirements and items are written in accordance with evidence-informed standards. Additionally, cognitive interviews resulted in revisions to the survey that seem to improve respondents' comprehension and willingness to respond to individual survey items.

Mechanisms underlying corruption of working memory in Parkinson's disease.

Working memory (WM) impairments are reported to occur in patients with Parkinson's disease (PD). However, the mechanisms are unclear. Here, we investigate several putative factors that might drive poor performance, by examining the precision of recall, the order in which items are recalled and whether memories are corrupted by random guessing (attentional lapses). We used two separate tasks that examined the quality of WM recall under different loads and retention periods, as well as a traditional digit span test. Firstly, on a simple measure of WM recall, where patients were asked to reproduce the orientation of a centrally presented arrow, overall recall was not significantly impaired. However, there was some evidence for increased guessing (attentional lapses). On a new analogue version of the Corsi-span task, where participants had to reproduce on a touchscreen the exact spatial pattern of presented stimuli in the order and locations in which they appeared, there was a reduction in the precision of spatial WM at higher loads. This deficit was due to misremembering item order. At the highest load, there was reduced recall precision, whereas increased guessing was only observed at intermediate set sizes. Finally, PD patients had impaired backward, but not forward, digit spans. Overall, these results reveal the task- and load-dependent nature of WM deficits in PD. On simple low-load tasks, attentional lapses predominate, whereas at higher loads, in the spatial domain, the corruption of mnemonic information-both order item and precision-emerge as the main driver of impairment.

Bilevel integer linear models for ranking items and sets

Item and set orderings help with data management. Depending on the context, it is just as important to order a list of items (customers from different provinces, companies from different sectors, players from different teams) as it is to order a list of sets of these items (provinces, sectors, teams). It is evident that the order that is chosen for the items is not independent of the order that is chosen for the sets. It is possible that several set orders are sensible for the same item order and vice versa, that several item orders are sensible for the same set order. In this work, we propose a bilevel model to calculate an adequate order of items when an order of sets is available and another bilevel model to calculate an adequate order of sets when an order of items is available. In addition, it is shown how to reduce both bilevel models to single level models. Two illustrative computational studies are presented, the first with collected on 25 tennis players and ATP statistics and the second with Biomedical data. Both examples illustrate the good behavior of the models and the interest of their application in a real case scenario

A joint replenishment problem with the (T,ki) policy under obsolescence

Companies are frequently confronted with the need to order different types of items from a single supplier or to manufacture the items in a production line. Indeed, coordinated ordering of multiple items may lead to important savings whenever a family of items can be ordered from a common supplier, produced in a common facility, or use a common mode of transportation. The Joint Replenishment Problem (JRP) tackles the coordinated replenishment of multiple items by minimizing the total cost, composed of ordering (or setup) costs and holding costs, while satisfying the demand. On the other hand, when items are subject to obsolescence, they may face an abrupt decline in demand as they are no longer needed. This decline can be caused by reasons such as rapid advancements in technology, going out of fashion, or ceasing to be economically viable. The present article develops an extension of the JRP where the items may suddenly become obsolete during an infinite planning horizon. The point at which an item becomes obsolete is uncertain. The lifetimes of the items are assumed to follow independent negative exponential distributions. A model is proposed by using the total expected discounted cost as the minimization criterion. The time value of money is considered through an appropriate discount rate. Extensive tests were performed to assess the impact of obsolescence rates and discount rates on the ordering policies. The progressive increase of the obsolescence rates determines smaller periods between successive replenishments, while the progressive increase of the discount rate determines smaller lot sizes.

A multilevel, multidimensional scale for measuring housing insecurity in slums and informal settlements

Housing insecurity is a pervasive challenge in the cities and urban areas of low-and middle-income countries, particularly in the informal settlements where a disproportionately high number of urban residents live. Despite this persistent challenge and its impact on health and well-being, there are scarce comprehensive, standardized, and validated instruments for measuring housing insecurity in these regions. Therefore, our objectives were to develop and validate a housing insecurity scale for slums and informal settlements in the global South. Using a complementary set of qualitative and quantitative techniques, we developed the scale from data collected from three slums in Ghana (N = 1036) on housing deprivations and characteristics, slum severity, resource insecurity, health outcomes, and socio-demography. Following item generation, domain identification, and content validation, we identified a set of 28 items, which were tested for tetrachoric and Biserial correlations. We then extracted an optimal number of factors and tested for dimensionality using confirmatory factor analysis and second-order confirmatory factor analysis. This was followed by tests of reliability, external validity, unidimensionality of sub-scales, local independence, invariant item ordering, and monotonicity. The resultant scale is a multilevel, multidimensional scale comprising 17 items that subdivide into three sub-scales: lack of essential utility (α = 0.63), built environment deficiency (α = 0.80), and tenancy challenges (α = 0.82). The composite scale is reliable, with a coefficient alpha of 0.83. Criterion concurrent and predictive validity, convergent and discriminant validity, and known group comparisons supported the validity of the scale. Assumptions of sub-scale unidimensionality, local independence, invariant item ordering, and monotonicity were verified. This is one of the few comprehensively validated scales developed to measure housing insecurity in slums and informal settlements in the global South. It can be used to test different hypotheses on the impact of housing insecurity on several environmental and health outcomes; assess and plan clinical, programmatic and policy interventions; and aid in tracking progress made on the Sustainable Development Goal 11. • A novel scale for measuring housing insecurity in urban slums in the global south • Housing insecurity is multidimensional consisting of three domains and 17 items. • The housing insecurity measure was assessed to be reliable and validated. • Housing insecurity increases slum severity and other forms of resource insecurity. • We can now assess the causes and effects of housing insecurity in urban slums.